Prediction of Cold Flow Properties of Biodiesel Fuel Using Artificial Neural Network

Al-Shanableh, Filiz; Evcil, Ali; Savas, Mahmut A.

doi:10.1016/j.procs.2016.09.401

Cited by 26 publications

(8 citation statements)

References 21 publications

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“…Also, the composition of each fatty acid present in the mixtures was calculated proportionally according to the required percentages. The fatty acid methyl ester of biodiesel produced from the waste frying oil and canola oil is compared with the available published data in the literature [43][44][45][46][47][48][49][50][51][52][53]. The most common fatty acid components of biodiesel feedstock in the literature were compared with current work, namely, C12:0, C14:0, C16:0, C18:0, C18:1, C18:2, C18:3, C20:0 and C20:1.…”

Section: Methodology Biodiesel Samplesmentioning

confidence: 99%

A Laboratory Study of the Effects of Wide Range Temperature on the Properties of Biodiesel Produced from Various Waste Vegetable Oils

Kassem

Çamur

2016

Waste Biomass Valor

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Biodiesel is an attractive alternative fuel for diesel engines produced from vegetable oils or animal fats by transesterification in the presence of a catalyst. The feedstocks used in this experiment for the production of biodiesel were waste frying oil (WFME) waste canola oil (WCME), and their different percentages are referred to as 25-WFME, 50-WFME and 75-WFME. The samples are sourced from Northern Cyprus. Also, biodiesel was produced at Mechanical Engineering research laboratory. The purpose of this study is to investigate the effect of the temperature on the kinematic, dynamic viscosity and density of the biodiesel samples. Also, this paper examines the cold flow properties as well as the kinematic viscosity, cloud point (CP) and pour point (PP) of the produced biodiesel. The density, kinematic viscosity, CP and PP measurements were made according to ASTM standards. The properties of the produced biodiesel such as viscosity and density were measured within temperature ranges 20-270°C in steps of 10°C. The kinematic viscosity, CP and PP were measured within temperature range -10-20°C. In this study, five general correlations were presented for estimating the density and kinematic viscosity of the blends at several temperatures. The experimental investigation showed that CP and PP of WCME increased with an increase in the concentration of WFME. Furthermore, empirical equations for predicting the viscosity, density, CP and PP for biodiesel samples give values in good agreement with experiments. The results obtained show that with the increase of the temperature, kinematic viscosity, dynamic viscosity and density decreased.

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Section: Methodology Biodiesel Samplesmentioning

confidence: 99%

A Laboratory Study of the Effects of Wide Range Temperature on the Properties of Biodiesel Produced from Various Waste Vegetable Oils

Kassem

Çamur

2016

Waste Biomass Valor

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“…They are the most commonly employed feedstock for biodiesel production and about 95% of biodiesel from the biofuel market comes from this source. The most commonly employed plant seed oils are soybeans, 17 palm oil, 101, 110 palm kernel oil, 59 rapeseed, 90 sunflower 111, 112 canola, 113 coconut, 68 peanut, 90 jatropha 25 and many others that have been commercially developed. These oils are produced in large quantities in many regions of the world and their fuel properties are similar to those of petroleum diesel and are very effective in emission mitigation 28 .…”

Section: Oil Feedstock Issues and Sustainability For Biodiesel Producmentioning

confidence: 99%

Effectiveness of biogenic waste‐derived heterogeneous catalysts and feedstock hybridization techniques in biodiesel production

Etim

Musonge

Eloka‐Eboka

2020

Biofuels Bioprod Bioref

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Biodiesel has the potential to contribute significantly to the elimination of the present global energy and climate change logjam, but its production and commercialization have been hindered by the diverse nature of the feedstocks used for production. This paper reviews the effectiveness of applying various types of crop and animal waste-derived catalysts together with innovative feedstock hybridization as an economically viable technique for biodiesel production. Feedstock challenges, availability, and sustainability for large-scale applications are addressed with a view to bridging the existing gaps. Challenges in the use of edible oils and algae oil sources and development remain, but the technique of feedstock hybridization appears to be very promising, innovative, and cost-effective for biodiesel production. The present state of biodiesel production could be improved by the application of simple and cost-effective technologies in the feedstock system. High free fatty acid (FFA) content is the major hurdle to the use of most oils, especially low-grade/advanced oil feedstocks, in biodiesel production. This could be addressed through technological application of feedstock hybrids and biogenic waste-derived heterogenous catalysts, and their biochemical modifications. Conventional technology for the large-scale application of inorganically derived catalysts in biodiesel production with various characteristic differences is presented. Heterogenous catalysts derived from biogenic wastes and their modification could be used to overcome associated problems with the use of inorganic catalysts in biodiesel production. Biogenic waste-derived heterogenous catalysts are renewable, available, eco-friendly, and cost-effective. Technological applications of heterogeneous catalysts derived from biogenic waste are outlined and reviewed, considering various materials and different modification techniques to identify appropriate options for scaling up development. This review also discusses fundamental considerations for the Review

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“…Recently, ANN model is explored to predict biodiesel yield (Thoai et al, 2018). The ANN model has also been used to predict biodiesel properties such as viscosity, cloud point, fash point, pour point, and cetane number (Giwa et al, 2015;Al-Shanableh et al, 2016).…”

Section: Methanol Biodiesel Glycerolmentioning

confidence: 99%

Application of Artificial Neural Network to Predict Biodiesel Yield from Waste Frying Oil Transesterification

Haryanto

Saputra

Telaumbanua

et al. 2020

Indonesian J. Sci. Technol

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Used frying oil (UFO) has a great potential as feedstock for biodiesel production. This study aims to develop an artificial neural network (ANN) model to predict biodiesel yield produced from base-catalyzed transesterification of UFO. The experiment was performed with 100 mL of UFO at three different molar ratios (oil:methanol) (namely 1:4, 1:5, and 1:6), conducted with reaction temperatures of 30 to 55oC (raised by 5oC), and reaction time of 0.25, 0.5, 1, 2, 3, 6, 8, and 10 minutes. Prediction model was based on ANN model consisting of three layers with 27 combinations of three activation functions (tansig, logsig, purelin). All activation function architectures were trained using Levenberg- Marquardt train type with 126 data set (87.5%) and learning rate of 0.001. Model validation used 18 data set (12.5%) measured at reaction time of 8 min. Results showed that two ANN models with activation function of logsig-purelin-logsig and purelin-logsig-tansig be the best with RRMSE of 2.41% and 2.44% with R2 of 0.9355 and 0.9391, respectively. Predictions of biodiesel yield using ANN models are significantly better than those of first-order kinetics.

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Prediction of Cold Flow Properties of Biodiesel Fuel Using Artificial Neural Network

Cited by 26 publications

References 21 publications

A Laboratory Study of the Effects of Wide Range Temperature on the Properties of Biodiesel Produced from Various Waste Vegetable Oils

A Laboratory Study of the Effects of Wide Range Temperature on the Properties of Biodiesel Produced from Various Waste Vegetable Oils

Effectiveness of biogenic waste‐derived heterogeneous catalysts and feedstock hybridization techniques in biodiesel production

Application of Artificial Neural Network to Predict Biodiesel Yield from Waste Frying Oil Transesterification

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